Amazon Web Services Makes Amazon Kinesis Available to All Customers Customers, including Bizo, MediaMath, and Supercell, used the Amazon Kinesis limited preview to power real-time streaming data applications
SEATTLE--(BUSINESS WIRE)--Dec. 17, 2013-- Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ:AMZN), today announced that Amazon Kinesis, a fully managed service for real-time processing of high volume, streaming data, is now broadly available for use. Using Amazon Kinesis, a customer can store and process terabytes of data an hour from hundreds of thousands of sources, making it easy to write applications that take action on real-time data such as web site click-streams, marketing and financial transactions, social media feeds, logs and metering data, and location-tracking events. Amazon Kinesis-enabled applications can power real-time dashboards, generate alerts, drive real-time business decisions such as changing pricing and advertising strategies, or send data to other big data services such as Amazon Simple Storage Service (Amazon S3), Amazon Elastic Map Reduce (Amazon EMR), or Amazon Redshift. Customers can create an Amazon Kinesis stream with a few clicks in the AWS Management Console or through a simple API call. To get started with Amazon Kinesis, visit http://aws.amazon.com/kinesis.
To date, most big data processing has been done through batch-oriented approaches such as those used by Hadoop, or through database technologies such as data warehouses. Since these systems store and process data in batches, they aren't able to support applications that need to process streaming feeds of rapidly changing data in real time. To build applications that rely on this fast-moving data, many companies have developed their own systems or stitched together open source tools, but these are often complex to build, difficult to operate, inelastic and hard to scale, and can be unreliable or lose data. Amazon Kinesis helps solve these problems by providing a fully managed service that takes care of all the heavy-lifting for developers, providing easy data ingestion and storage, high data durability, and the ability to scale seamlessly from kilobytes to terabytes an hour - at a fraction of the cost and effort. The Amazon Kinesis client library simplifies load balancing, coordination, and fault tolerance, and developers can use AWS Auto Scaling to easily create elastic, high-performance Amazon Elastic Compute Cloud (Amazon EC2) processing clusters. Amazon Kinesis also integrates with third-party products, giving developers control and freedom to choose their preferred method of data processing, including popular open source products. With Amazon Kinesis, customers can quickly and easily add real-time analytics and other functionality to their applications, turning today's explosive data growth into an opportunity to build competitive advantage and innovate for their customers. Amazon Kinesis is currently available in the US East (N. Virginia) Region and will be rolled out to other AWS Regions in the coming months.
When we set out to build Amazon Kinesis, we wanted to eliminate the cost, effort, and expertise barriers that have prevented our customers from processing streaming data in real-time, said Terry Hanold, Vice President, Cloud Commerce, AWS. Weve gotten great feedback from our preview customers, and it's inspiring to see the innovative ways customers are using Amazon Kinesis, across applications as diverse as gaming, mobile, advertising, manufacturing, healthcare, e-commerce, and financial services.
Bizo provides a B2B digital marketing platform that its clients use to reach target prospects online and shape their purchase decisions. Our business runs with a talented but small engineering staff; tools that save us time and reduce operational complexity allow us to focus on innovation, said Donnie Flood, Vice President of Engineering at Bizo. An Amazon Kinesis-based pipeline allows us to replace our existing, batch-oriented, data ingestion and aggregation mechanism, which forms the backbone of our data pipeline and reporting infrastructure. This reduces our operational burden and frees up our engineers' time to focus on building targeted advertising solutions for our clients while Amazon Kinesis does the heavy lifting of scaling elastically in response to our growing business.
MediaMath is the leading, global digital marketing platform that is transforming the advertising industry. Starting the revolution back in 2007, MediaMath built a platform that brought real-time decisioning and programmatic media buying to life. Our products stream billions of messages and terabytes of data daily as our clients run their digital advertising campaigns, said Eddie Fagin, Director of Engineering at MediaMath. This data is the lifeblood of our company and powers the unparalleled performance we bring to clients around the world each day. At MediaMath, we are leveraging Amazon Kinesis as a complementary component of our digital marketing platform's data pipeline. The managed Amazon Kinesis service, SDKs, and connectors, combined with Amazon EC2 auto-scale groups, will allow us to process this massive volume of data on AWS in real time. This will minimize operational complexity, thus allowing us to focus on helping marketers connect with their customers in the most effective and efficient way.
Finland-based Supercell is one of the fastest-growing social game developers and their two games Hay Day and Clash of Clans attract more than 8.5 million players on iOS and Android devices every day. Our player base has scaled at an incredible pace. Using AWS means we can rely on AWS tools in managing our infrastructure to match our growth, said Sami Yliharju, Services Lead at Supercell. We are using Amazon Kinesis for real-time delivery of game insight d
